/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.gluten.extension.columnar

import org.apache.gluten.execution.{CHColumnarToCarrierRowExec, MicroBatchScanExecTransformer}
import org.apache.gluten.extension.columnar.transition.ColumnarToRowLike

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.execution._

object KafkaMiscColumnarRules {
  // Remove topmost columnar-to-row.
  case class RemoveStreamingTopmostColumnarToRow(session: SparkSession, isStreamingPlan: Boolean)
    extends Rule[SparkPlan] {
    override def apply(plan: SparkPlan): SparkPlan = {
      if (
        !isStreamingPlan || plan.collectFirst { case e: MicroBatchScanExecTransformer => e }.isEmpty
      ) {
        return plan
      }

      plan match {
        case ColumnarToRowLike(child) => wrapperFakeRowAdaptor(child)
        case other => other
      }
    }

    private def wrapperFakeRowAdaptor(plan: SparkPlan): SparkPlan = {
      CHColumnarToCarrierRowExec.enforce(plan)
    }
  }
}
